Machine learning for risk and resilience assessment in structural engineering: Progress and future trends
Population growth, economic development, and rapid urbanization in many areas have led
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
to increased exposure and vulnerability of structural and infrastructure systems to hazards …
Research on resilience of power systems under natural disasters—A review
Natural disasters can cause large blackouts. Research into natural disaster impacts on
electric power systems is emerging to understand the causes of the blackouts, explore ways …
electric power systems is emerging to understand the causes of the blackouts, explore ways …
The costs of maintaining and not maintaining the urban forest: A review of the urban forestry and arboriculture literature
Existing urban forest literature is strongest in its quantification and qualification of the
benefits and care of trees, and not in its ability to assess the results of lack of investment in …
benefits and care of trees, and not in its ability to assess the results of lack of investment in …
Damage modeling framework for resilience hardening strategy for overhead power distribution systems
Several disastrous storms, such as Hurricane Sandy in 2012, that brought massive area
power outages for several days and even weeks in some areas, highlight the necessity of …
power outages for several days and even weeks in some areas, highlight the necessity of …
Deep learning for critical infrastructure resilience
K Dick, L Russell, Y Souley Dosso… - Journal of …, 2019 - ascelibrary.org
Ensuring the resiliency of critical infrastructures is essential in modern society, but much of
the deployed infrastructure has yet to fully leverage modern technical developments. This …
the deployed infrastructure has yet to fully leverage modern technical developments. This …
Social vulnerability and equity perspectives on interdependent infrastructure network component importance
Critical infrastructure networks are often described as (i) interdependent in nature for
operability,(ii) vulnerable against multiple natural or human-made hazards, and (iii) vital for …
operability,(ii) vulnerable against multiple natural or human-made hazards, and (iii) vital for …
Wildfire risk mitigation: A paradigm shift in power systems planning and operation
JW Muhs, M Parvania… - IEEE Open Access …, 2020 - ieeexplore.ieee.org
Managing the risk of wildfires has been arguably the biggest recent challenge of electric
utilities with infrastructure located in the wildland-urban interface. Utilities are deploying …
utilities with infrastructure located in the wildland-urban interface. Utilities are deploying …
A flexible count data regression model for risk analysis
SD Guikema, JP Goffelt - Risk Analysis: An International …, 2008 - Wiley Online Library
In many cases, risk and reliability analyses involve estimating the probabilities of discrete
events such as hardware failures and occurrences of disease or death. There is often …
events such as hardware failures and occurrences of disease or death. There is often …
Power outage estimation for tropical cyclones: Improved accuracy with simpler models
In this article, we discuss an outage‐forecasting model that we have developed. This model
uses very few input variables to estimate hurricane‐induced outages prior to landfall with …
uses very few input variables to estimate hurricane‐induced outages prior to landfall with …
Major impacts of weather events on the electrical power delivery system in the United States
Weather events are a major source of disruptions to the electrical power grid. This study
examines the occurrence and variability of major weather-related electrical power …
examines the occurrence and variability of major weather-related electrical power …